Salem trainees can enrol in Uncodemy's Agentic AI course, an instructor-guided program stretching across three to four months. The syllabus addresses LLM fundamentals, tool and function calling, AI agent architecture, and hands-on work involving LangChain, LangGraph, multi-agent systems, and agent deployment. Trainees from Salem participate via live online sessions, and in-person training is open at the Delhi and Noida centres for those able to travel. The program is billed at ₹19,500 + GST, totalling ₹23,010.
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5/5Career and placement assistance through our growing network of companies, recruiters and hiring organizations across India.
6 × ₹3,835 = ₹23,010 — matches the ₹23,010 total exactly.
Trainees who finish this curriculum emerge with practical capabilities spanning AI agent development, tool calling, workflow construction, LLM applications and automation, strengthened by a project portfolio plus an industry capstone. Such capabilities fit well with positions including AI Agent Developer, Agentic AI Engineer and AI Automation Engineer.
Placement records for Salem trainees are refreshed on a rolling basis — check verified results at uncodemy.com/placement.
Placed at: Allsoft Solutions
Placed at: SmartStudy
Placed at: Allsoft Solutions
Placed at: SmartStudy
Agentic AI represents a family of AI solutions engineered upon large language models, furnished with the ability to sketch task strategies, reason across sequential steps, invoke tools or functions, and execute numerous actions oriented toward a fixed objective. Distinct from a single-turn chatbot that only issues a response to a prompt, an agentic solution can synchronise actions, draw in outside data, preserve ongoing context, and operate a workflow spanning many phases.
An Agentic AI engineer bears responsibility for crafting and constructing frameworks that can tackle multi-stage tasks with supervised autonomy. Routine duties may cover outlining agent architectures, coding tool and function calling, administering memory and context, composing multi-agent workflows with LangChain or LangGraph, gauging responses, imposing security and guardrails, and launching dependable agents into production settings.
Here is how Uncodemy's Agentic AI program sits next to its two related specialisations.
| Aspect | Agentic AI | LLM Engineering | RAG Engineering |
|---|---|---|---|
| Core focus | Building autonomous agents with tool calling, workflows and multi-agent systems | Building, fine-tuning & deploying LLM-powered applications | Building retrieval-grounded AI systems on enterprise knowledge |
| Coding depth | High | High | High |
| Typical entry salary | ₹4–8 LPA (Entry-Level AI Engineer, per this sheet) | ₹6–10 LPA (per LLM Engineering course sheet) | ₹5–9 LPA (per RAG Engineering course sheet) |
| Uncodemy program duration | 3–4 months | 5–6 months | 5–6 months |
Arranged across a three-to-four-month timeline guided by instructors, this Agentic AI curriculum brings together 100+ live sessions, 160+ learning hours and 13 modules. Trainees proceed from agent fundamentals and Python toward LLM fundamentals, API integration, prompt engineering, tool and function calling, agent architecture, memory and context management, RAG-augmented agents, LangChain and LangGraph, multi-agent systems, evaluation, security, guardrails, deployment and the closing capstone. Working tools and projects are embedded throughout, conducted live online for Salem trainees, while classroom delivery remains open at Uncodemy's Delhi and Noida premises.
Though a programming base proves advantageous, the curriculum establishes the essential Python groundwork starting at Module 2. Basic LLM or API awareness is beneficial, yet it is not compulsory for following the progression, because these subjects are unfolded from Module 3 onward. Trainees require a laptop along with a reliable internet connection for live online lectures, coding tasks, projects and assignments.
Pick the weekday or weekend track that suits your schedule; seats are confirmed on enrolment.
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 16 Oct | 07:30 PM – 08:30 PM | Mr. Irshad | 01 Seat |
| 22 Oct | 02:00 PM – 03:00 PM | Mr. Upendra Kumar Tiwari | 02 Seat |
| 26 Oct | 10:30 AM – 11:30 AM | Mr. Irshad | 01 Seat |
| 28 Oct | 12:00 PM – 01:00 PM | Mr. Upendra Kumar Tiwari | 02 Seat |
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 27Oct | 03:00 PM – 05:00 PM | Mr. Irshad | 02 Seat |
Illustrative example only — your exact weekday or weekend timetable (IST) is shared when you enrol.
The Agentic AI program is organised as a three-to-four-month instructor-led journey featuring 100+ live sessions, 160+ learning hours and 13 modules. Trainees advance from agent fundamentals and Python through LLM fundamentals, API integration, prompt engineering, tool and function calling, agent architecture, memory and context management, RAG-augmented agents, LangChain and LangGraph, multi-agent systems, evaluation, security, guardrails, deployment and the closing capstone. Applied tools and projects are embedded, taught live online for Salem trainees, while classroom learning continues at Uncodemy's Delhi and Noida centres.
| Module | Hours | Tools |
|---|---|---|
| 1. Agentic AI Fundamentals | 10 | Jupyter Notebook |
| 2. Python for Agentic AI | 15 | Python, Jupyter Notebook |
| 3. LLM Fundamentals | 12 | OpenAI APIs, Hugging Face |
| 4. API Integration | 12 | OpenAI APIs, Hugging Face, Python Requests |
| 5. Tool & Function Calling | 15 | OpenAI APIs, Python |
| 6. Agent Architecture | 15 | LangChain, Python |
| 7. Memory & Context Management | 12 | LangChain, Vector Stores |
| 8. LangChain & LangGraph | 15 | LangChain, LangGraph |
| 9. Multi-Agent Systems | 12 | LangGraph, LangChain |
| 10. Agent Evaluation | 10 | Python, LangChain |
| 11. Security & Guardrails | 10 | Python, LangChain |
| 12. Agent Deployment | 15 | FastAPI, Git/GitHub |
| 13. Agentic AI Projects & Capstone | 25 | Full stack of course tools |
| Total | 160+ Hours | |
Each project comes straight from a curriculum module, ending with the Agentic AI capstone.
Curriculum & Technical Reviewer · AI Trainer
8+ years across AI, ML and analytics delivery. Reviews and signs off the curriculum on this page so content stays technically accurate and current.
The curriculum has been designed and technically reviewed by expert industry professional Mr. Irshad Khan, with additional review by Mr. Upendra Kumar Tiwari.
After satisfactorily finishing the Uncodemy Agentic AI program, trainees receive the Uncodemy Agentic AI Program Certificate. This credential lists the program name, its duration, tools addressed and the completion date, alongside a verification reference where the applicable verification mechanism can be used.
The certification is fastened to the practical training accomplished during the program — hands-on agent-construction projects, multi-agent system workflows and the Agentic AI capstone project. This hands trainees formal proof of having finished the prescribed training and practical work.
The Agentic AI course for Salem learners provided by Uncodemy includes a verified Uncodemy Agentic AI Program Certificate that can be verified online through the official Uncodemy Certificate Portal.
Uncodemy Certificate VerificationOnline Certificate Verification & Download certificate.uncodemy.com_2.webp)
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Uncodemy Edutech Pvt. Ltd. operates as a career-driven IT training organisation delivering structured technology education. Holding over 14 years of training expertise, it runs classroom programs across its Delhi and Noida centres, while live online classes permit trainees throughout India — Salem included — to attend from a distance.
In this Agentic AI course, participants strive to construct AI agents that can carry out tool calling, multi-agent workflows and RAG-augmented interactions. The learning journey also takes in production-grade agent deployment and closes with an Agentic AI capstone project that binds the principal concepts into practical work.
Sessions driven by instructors are blended with assignments, practical projects, interview preparation and career support. Career-support methods, applicable policies and eligibility criteria are disclosed prior to enrolment, so aspirants can appreciate what assistance is available without treating it as a promise of employment.
Other courses for Salem learners: Artificial Intelligence, LLM Engineering, RAG Engineering, AI Security, and Generative AI & Agentic AI courses for Salem learners
The people who actually teach this course
Each live session is conducted by Uncodemy's roster of trainers. The institute engages 30+ Industry Trainers & Mentors holding 10+ Years of Corporate Training Experience* on average, so that lessons mirror how AI is applied inside genuine organisations.
Uncodemy keeps two responsibilities apart: trainers lead sessions, while domain reviewers confirm the curriculum remains technically precise and up to date. For this Artificial Intelligence program, the curriculum and technical material undergo review by Mr. Irshad, with supplementary review by Mr. Upendra Kumar Tiwari, giving aspirants an independent check on what is taught.
Trainer and reviewer credentials are published by name with a profile link, letting you examine them before you join.
Senior Data Science Trainer
Expertise15+ years of industry experience building production machine learning systems for retail, telecom and consulting teams.
Modelling security breaches in iOS apps, dormant customer prediction and factor analysis, last-mile delivery optimisation, and credit card fraud detection.
Data Analytics & AI Trainer
ExpertisePython · SQL · Machine Learning · Tableau · Artificial Intelligence · Deep Learning · Power BI · MLOps
8+ years across consulting and public-sector analytics, with deep hands-on work in AI and MLOps delivery.
Built an OCR model, a disease-prediction model, and a fraud-control model deployed across every Indian state under the Ministry of Health & Welfare.
Data Analytics & AI Trainer
ExpertisePython · ML · DL · NLP · Power BI · Tableau · SPSS · SAS · MS-Excel · SQL · HTML · CSS
7+ years turning aviation and enterprise data into forecasting models, dashboards and AI assistants.
AI agent chat/voice bot, AI-driven data analysis, a sales-forecasting ML model, NPS data model evaluation, and a face-recognition model for biometrics.
Data Analytics Trainer
ExpertisePython · SQL · Excel · Power BI · Tableau · ML · DL · NLP · Time Series · IoT Devices · Prompt Engineering · Chatbots
5+ years in logistics and consumer-brand analytics, with a strong focus on time series, NLP and applied automation.
Speech-to-text using core NLP (T2S), talent acquisition research, and product launch & CMS work on keventers.com using Sparktech.
Data Analytics Trainer
ExpertiseAdvanced Excel · SQL · Power BI · Tableau · Python · Data Visualisation · Statistics
Trainer for the analytics and business intelligence track at Uncodemy, working with learners on Excel, SQL and BI tooling from first principles to interview-ready projects.
Guides classroom capstones on sales and customer dashboards, KPI reporting and end-to-end data cleaning workflows.
Data Analytics Trainer
Expertise
Data Analytics Trainer
Expertise
MD & CEO
ExpertiseFounder, MD & CEO of Uncodemy and GS Net Academy, with experience in education, technology leadership, research, mentorship and career development.
Leads strategic direction, academic initiatives, technology-driven education programs and mentorship across Uncodemy and GS Net Academy.
CEO & Founder
ExpertiseCEO & Founder of GvCloud Secure and Uncodemy with 14+ years of professional experience building scalable web, mobile and AI-driven solutions for clients across India, USA, UK, Canada, Australia and Singapore.
Leads technology strategy, scalable web and mobile solutions, AI-driven products and EdTech initiatives across Uncodemy and GvCloud Secure.
Join a live online batch from anywhere in Salem and learn LLM fundamentals, tool calling, LangChain, LangGraph and multi-agent systems across 3–4 months. Talk to our counsellors about batch timings, EMI options and career support before you commit.
A step-by-step view of the role-wise salary ranges on this page, from first AI role to architect.
Salem continues to open avenues for AI specialists, as the city combines a seasoned education and manufacturing heritage with an evolving technology and services landscape. Both strands are progressively weaving AI agents, tool-invocation routines and automation into their products and back-office workflows.
Technology recruitment clusters around Suramangalam, Fairlands and Hasthampatti, where services firms, capability centres and product houses build data and AI practices. Beyond IT, Salem's expanding fintech, e-commerce and healthcare-technology industries are fuelling appetite for AI across areas such as fraud prevention, recommendation engines, document handling and clinical data analysis.
While selecting freshers and career switchers, interviewers commonly give weight to three facets. First, firm grounding in AI and agent concepts — how LLMs, tool invocation and workflows interlock. Second, coding-round outcomes, typically Python-based problem solving and API integration. Third, portfolio heft: aspirants who can defend their agent architecture decisions, describe how they gauged results and explain how they shipped an agent tend to rise above the rest. This program is crafted around those very pillars, with live sessions, graded projects and a deployed capstone.
The reach of this program is intentionally wide, letting trainees target a spectrum of entry-level Agentic AI positions rather than a single title. Since the curriculum spans agent architecture, tool invocation, multi-agent systems and deployment, you can line up your applications with the work you enjoy most and cite a matching project for each opening.
| Role | Core Tools |
|---|---|
| AI Agent Developer | Python, LangChain, LangGraph, OpenAI APIs |
| Agentic AI Engineer | LangChain, LangGraph, Python, FastAPI |
| AI Automation Engineer | Python, APIs, LangChain, Automation tools |
| LLM Application Developer | OpenAI APIs, Hugging Face, LangChain |
| RAG Engineer (Junior) | LangChain, Vector Stores, Python |
| AI Solutions Engineer | Python, FastAPI, LangGraph, Git/GitHub |
Across two to four years, progress typically stems from depth and ownership. Engineers who begin with agent construction often graduate to running whole agentic pipelines, spanning design through deployment and monitoring. Many subsequently specialise in multi-agent orchestration, evaluation or security, and shift into senior AI engineer roles. With broader system design exposure, some eventually transition into solution architecture or technical leadership.
AI compensation in Salem varies meaningfully with the role you target, your hands-on abilities and the kind of employer you choose. IT services firms, product houses and tech startups all recruit AI talent, yet each structures pay in its own way. The bands shown below reflect the indicative market ranges Uncodemy publishes across its course pages; they illustrate how remuneration typically expands as responsibility shifts from agent construction toward system design.
| Role | Salary Range |
|---|---|
| Entry-Level AI Engineer | ₹4–8 LPA |
| Machine Learning Engineer | ₹6–12 LPA |
| AI/ML Engineer | ₹8–16 LPA |
| Deep Learning Engineer | ₹8–18 LPA |
| Generative AI Engineer | ₹8–18 LPA |
| Computer Vision Engineer | ₹7–16 LPA |
| Senior AI Engineer | ₹15–28 LPA |
| AI Solutions Architect | ₹20–35 LPA |
Sources consulted: AmbitionBox, Glassdoor, Indeed and Uncodemy placement records. Reviewed: October 2026. These bands are assembled by cross-checking publicly reported salary data for each role against internal placement information, and they are refreshed periodically so they stay broadly aligned with market reality. They describe typical bands rather than specific offers. Actual packages in Salem hinge on the employer's size and sector, the candidate's interview performance, prior experience and the exact duties attached to the role, so treat the table as a planning aid.
Agentic AI demand across Salem stretches over a diverse set of industries, and Uncodemy's network of 850+ hiring partners covers a great many of them. The sectors catalogued below are where Salem-based Agentic AI capabilities are most commonly deployed today:
Since each sector rests on the same core foundation of LLMs, tools and agentic workflows, a broad Agentic AI program lets trainees apply across industries instead of locking into one early in their career.
Turning into an Agentic AI engineer is a sequence of skills, each one building on the one before it. The seven stages below follow the order of this program, so you always know what comes next and why it matters.
Timeline: 3–4 months of consistent study, live sessions and project work is typically enough to become interview-ready for entry-level Agentic AI roles.
Before committing to an Agentic AI course, weigh the facts that shape your outcome: duration, total learning time, live teaching, tool coverage, project depth and post-training support. The table lays out these factors for this program so you can stack them up against any alternative.
| Factor | This Program |
|---|---|
| Duration | 3–4 months |
| Learning hours | 160+ hours |
| Live sessions | 100+ |
| Tools | 15+ |
| Capstone | 25-hour Agentic AI project |
| Career support | Dedicated Career & Placement Assistance |
Inside Uncodemy's own catalogue, this Agentic AI course is the most specialised program for constructing autonomous agents. The Artificial Intelligence course covers broader ML, DL, NLP and vision foundations, LLM Engineering focuses narrowly on LLM application development, and RAG Engineering specialises in retrieval-grounded systems. If you already know you want to construct agents, this program is the direct path. If you are still exploring AI foundations, the broader AI course may suit you first.
Uncodemy does not operate a classroom in Salem, so Salem trainees take the Agentic AI program wholly live online. This is not a stripped-down version of the course. You attend the same batches, learn from the same trainers and follow the same 13-module curriculum as those in Uncodemy's classroom programs. Sessions run in real time, so you can raise questions, share your screen for debugging help and discuss agent workflows with the trainer while the class is going on.
Studying online also removes daily travel across the city, which matters for working professionals commuting to Suramangalam, Fairlands or Hasthampatti. You can pick a weekday or weekend batch around your job and revise with session recordings.
If you would rather learn in a physical classroom and are able to travel, in-person training remains available at Uncodemy's Delhi and Noida centres. The fee and curriculum are the same in both modes.
| If you want... | Recommend |
|---|---|
| A direct path to building AI agents and automation | This program |
| To add agentic capabilities to your existing LLM skills | This program |
| Broad ML/DL foundations before specialising | Consider the Artificial Intelligence course |
| Narrow LLM application development only | Consider the LLM Engineering course |
| A narrow retrieval-system specialisation | Consider the RAG Engineering course |
Salem aspirants move through this Artificial Intelligence course across 5–6 months. It unfolds over 110+ live online sessions grouped into 13 modules and concludes with a 25-hour industry capstone. Weekday and weekend batches both run in Salem, letting you select a tempo that fits your job or studies.
Salem aspirants do not need earlier machine learning background, because Python teaching opens at Module 2. Programming foundations alongside comfort with elementary maths and statistics let Salem aspirants advance more rapidly; Module 3 develops the mathematics and statistics essentials.
Salem aspirants encounter 15 tools: Python, NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, TensorFlow, Keras, PyTorch, OpenCV, Hugging Face, OpenAI APIs, Jupyter Notebook, Git/GitHub and FastAPI. Every tool is exercised through practical assignments and projects rather than simply being exhibited.
Yes. Salem aspirants tackle Deep Learning & Neural Networks in Module 8, Natural Language Processing (NLP) in Module 9, and Computer Vision & Image AI in Module 10. Practical work in each module leans on frameworks such as TensorFlow, PyTorch, Hugging Face and OpenCV.
Salem aspirants handle Module 13, AI Projects & Industry Capstone, a 25-hour project. You frame an industry-style problem, prepare the data, construct and assess a model, deploy it through FastAPI and document it on GitHub as a portfolio piece for interviews.
For Salem aspirants, sessions are live. The program delivers 110+ instructor-led live sessions where queries can be raised on the spot, and recordings are provided so you can revisit topics or cover a session you could not attend.
Salem aspirants pay ₹24,500 + 18% GST, making a total of ₹28,910. This rate holds in all modes and cities, whether you learn live online from Salem or in a classroom at Delhi or Noida, and no hidden charges apply.
Yes, Salem aspirants can tap EMI beginning at ₹4,818/month for 6 months.* This splits the ₹28,910 total across monthly instalments. *EMI amount, tenure and eligibility can vary based on the specific payment or financing option chosen.
Salem aspirants can ask for a demo session by submitting the enquiry form or calling our counsellors. Demo availability depends on the live batch schedule, and the team will share forthcoming slots so you can sample the live teaching format before enrolling.
Yes, Salem aspirants receive Dedicated Career & Placement Assistance. This covers resume and LinkedIn guidance, mock interviews and opportunity sharing through a hiring network of 850+ companies. Assistance does not promise employment; outcomes hinge on your skills and interview performance.
The course readies Salem aspirants to apply for entry-level AI Engineer roles, which carry an indicative range of ₹4–8 LPA. Securing a role depends on your projects, interview performance and market conditions, and Uncodemy does not guarantee any specific role or salary.
In Salem, indicative ranges run from ₹4–8 LPA for Entry-Level AI Engineers to ₹15–28 LPA for Senior AI Engineers and ₹20–35 LPA for AI Solutions Architects. These are market ranges, not guaranteed outcomes; actual offers vary by role, skills, experience, employer and market conditions.
Salem aspirants can pursue AI Engineer, Machine Learning Engineer, Deep Learning Engineer, Computer Vision Engineer, NLP Engineer (Junior) and Generative AI Engineer roles. The broad curriculum lets you select the direction that best fits your projects and interests.
Salem aspirants from any discipline qualify — graduates, working professionals, aspiring AI engineers and career switchers. You need a laptop and a stable internet connection; programming basics and maths comfort help but are developed during the course.
No. For Salem aspirants, salary ranges are indicative market figures, placement support does not ensure employment, and review counts reflect publicly available platform data that may change. They are shared transparently to help you make an informed decision.
No. Salem aspirants join the course live online. Uncodemy's classroom centres sit in Delhi (Laxmi Nagar/Shakarpur) and Noida (Sector 1), and anyone able to travel can pick in-person training at either location.
No. For Salem aspirants, it is an independent Uncodemy certificate, verifiable at certificate.uncodemy.com. Tools from these companies are covered in the course, but the certificate is not a vendor credential and implies no partnership or endorsement.
The Agentic AI course is delivered fully live online to learners in Salem, so no travel is needed to attend. If you would like to visit Uncodemy in person or prefer classroom training, our two physical training centres are located in Delhi and Noida.
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